Gesture recognition for alphabets from hand motion trajectory using Hidden Markov Models

ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology

Volumn , Issue , 2007, Pages 1192-1197

  Elmezain, Mahmoud ^a   Al Hamadi, Ayoub ^a   Krell, Gerald ^a   El Etriby, Sherif ^a   Michaelis, Bernd ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Application; Gesture recognition; Hidden Markov Model; Pattern recognition

Indexed keywords

BAUM-WELCH ALGORITHMS; CENTER OF GRAVITY; DEPTH INFORMATION; DISCRETE VECTOR; FEATURE EXTRACTION AND CLASSIFICATION; HAND MOTION; HAND MOTION TRAJECTORY; MORPHOLOGICAL OPERATIONS; MOTION TRAJECTORIES; RECOGNITION RATES;

FEATURE EXTRACTION; HIDDEN MARKOV MODELS; INFORMATION TECHNOLOGY; MATHEMATICAL MORPHOLOGY; OBJECT RECOGNITION; SIGNAL DETECTION; SIGNAL PROCESSING; SPEECH RECOGNITION; VITERBI ALGORITHM;

GESTURE RECOGNITION;

EID: 71549132275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPIT.2007.4458209     Document Type: Conference Paper

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